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Showing entries 1 to 10 of 14 4 Older Entries

Displaying posts with tag: RDBMS (reset)

On Hadoop RDBMS. Interview with Monte Zweben.
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“HBase and Hadoop are the only technologies proven to scale to dozens of petabytes on commodity servers, currently being used by companies such as Facebook, Twitter, Adobe and Salesforce.com.”–Monte Zweben.

Is it possible to turn Hadoop into a RDBMS? On this topic, I have interviewed Monte Zweben, Co-Founder and Chief Executive Officer of Splice Machine.

RVZ

Q1. What are the main challenges of applications and operational analytics that support real-time, interactive queries on data updated in real-time for Big Data?

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How to structure and design a relational database to support you data storage needs?
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Well, every now and then, when we began to start a new project or app, which has some data storage requirement, we have a deep intriguing thought as to how best represent the data structure so as to support a variety of needs including but not limited to (ACID rules):

1. Normalization
2. Reliability
3. Consistency
4. And many others

Below, I provide a set of steps which you can follow to arrive at a data model that correctly suites your requirements.

Steps:

1. Identify the project or app requirements / …










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On PostgreSQL. Interview with Bruce Momjian.
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“There are four things that motivate open source development teams:
1. The challenge/puzzle of programming, 2. Need for the software, 3. Personal advancement, 4. Belief in open source”
— Bruce Momjian.

On PostgreSQL and the challenges of motivating and managing open source teams, I have interviewed Bruce Momjian, Senior Database Architect at EnterpriseDB, and Co-founder of the PostgreSQL Global Development Group and Core …


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Scalability Happiness – A Quiet Query Log
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Join 7500 others and follow Sean Hull on twitter @hullsean.

There’s a lot of talk on the web about scalability. Making web applications scale is not easy. The modern web architecture has so many moving parts. How can we grapple with the underlying problem?

Also: Why Are MySQL DBAs So Hard to Find?

The LAMP stack scales well

The truth that is half right. …

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Y Gatorz are Considering Moving Back to a Gator Farm Instead of MapReducing the World
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NSFW (audio) “…pipe your data to /dev/null – it will be very fast.” “Does /dev/null support sharding?” NSFW (audio) “…the only thing constructive we could have used their source files for was as random keys for SSL certs.” NSFW (audio) “PHP reeks … Continue reading →

help starting my sql ideas
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The Brief
The Client’s mystery shopping programme consists of visits to each of the client’s ten locations, grouped into five different areas. Each location receives a single visit each month, but on occasion a visit may not take place.
On the completion of each visit, a questionnaire is completed by the mystery shopper that is used to rate the service they received during the visit. The completed questionnaire is assigned a score, which is calculated based on the number of points achieved over the number of points available, normally expressed as a percentage.
Points Achieved x 100 Points Available
= % Score
PHP Development Test






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MongoDB for MySQL folks - Part 2
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In this second part of a series of blogs on using a NoSQL database, in this case MongoDB, aimed at MySQL users, I will describe querying a bit. And it's probably not what you expected if you haven't tried a NoSQL database or MongoDB more specifically, before. The first blogpost on this subject is here.

At the heart of accessing MongoDB is JavaScript, more specifically it uses the Mozilla

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MySQL Cluster is a brilliant NoSQL database
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MySQL Cluster* is one of the most advanced and scalable databases available today and, despite what its name might suggest, it is also a brilliant NoSQL database**.
Let me discuss this statement!
First, let’s discuss the high level issues that NoSQL databases try to address:-     Scalability. Traditional RDBMS technology was designed four decades ago, and is not appropriate for today’s Big Data requirements. Database systems today need to be able to scale horizontally over multiple machines to handle millions of users. As the CAP …


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Implicit COMMIT considered harmful.
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If you execute the following, what does your RDBMS do?

CREATE TABLE t1 (a int);
START TRANSACTION;
INSERT INTO t1 (a) VALUES (1);
START TRANSACTION;
INSERT INTO t1 (a) VALUES (2);
ROLLBACK;
SELECT * FROM t1;

The answer may surprise you.

Using the right tool for the job at hand - MongoDB, MySQL and Sphinx
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You may have seen my posting regarding "eventual consistency" some months ago, and you may have come to the conclusion that I was insisting that a SQL based RDBMS is the way to go for just about anything. Tell you what, that is not so. And nether am I against using. say, MongoDB, where it is appropriate.

The whole deal with Eventual consistency is something that I am still opposed to, I want to know if my data is consistent. And I am not not sure that you cannot have a …

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Showing entries 1 to 10 of 14 4 Older Entries

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